THE INFLUENCE OF INFLATION ON THE UNEMPLOYMENT RATE OPEN IN MEDICAL FIELD OF UNITED STATES IN 2018

This study aims to find out how the effect of inflation on the open unemployment rate in Medical Field Of United States. The research method used is the method of qualitative data and quantitative data. While the data used is secondary data. The method of data analysis in this study uses simple linear regression analysis to obtain a comprehensive picture of the effect of inflation on the open unemployment rate using the SPSS 25 for Windows program. To find out whether there is a significant effect of the independent variable on the dependent variable, a simple linear regression model is used. The results of testing the hypothesis using simple regression analysis and t-test show that: that the t-table value of the Inflation variable is 0.992 < the t-table value (df:α :


INTRODUCTION
Development is generally focused on economic development through efforts to increase economic growth. The level of economic growth is one measure of the success of the development of a country or region. High and sustainable economic growth is the main condition or a necessity for the continuation of economic development and increasing welfare. Economic development is aimed at increasing people's welfare on the economic and social side. One of the goals of economic development itself is to create opportunities and employment as much as possible so that the workforce in a country can be absorbed in the process of economic activity in that country.
On the other hand, the goal of economic development is to create growth and increase human resources (HR). The goals to be achieved are the same as in the macroeconomic goals, namely to achieve economic stability in conditions of full employment and also to achieve low inflation, low unemployment rates and high quality economic growth. One of the problems faced by developing countries is high unemployment. tall. Unemployment is defined as someone who belongs to the labor force and is actively looking for work at a certain wage level, but does not get the job he wants. The amount of unemployment in a region is a problem that does not only cover the economic sector. On the other hand, The problem of unemployment also has a close relationship with the social and educational fields. At present it is not only people with low education who are unemployed, many people who have higher education levels are also unemployed. It can be known based on research conducted by Komariyah (2012), stating that economic growth has a negative and significant effect on the unemployment rate. This is in accordance with Okun's law, where Okun's law examines the relationship between the unemployment rate and the amount of a country's GDP. Every time there is an increase in the percentage of unemployment in a country, this will be equivalent to a decrease in the amount of GDP by 2%. Julius (2011) states that the definition of inflation is as follows: "A short definition of inflation is the tendency of prices to rise continuously". Meanwhile, Bank Medical Field Of United States defines inflation as a general and continuous increase in prices. An increase in just one or two goods cannot be called inflation unless the increase extends (or causes price increases) to other goods. The opposite of inflation is called deflation (www.bi.go.id). International Labor Organization The International Labor Organization (ILO) defines unemployment as open unemployment as someone belonging to the working-age population who has not worked for a certain period, is willing to accept work, and is looking for work.Economists study unemployment to identify its causes and to help correct public policies that affect unemployment. Some of these policies, such as job training programs, help people find jobs. Other policies, such as unemployment insurance, help reduce the hardships experienced by the unemployed. But other policies still affect the emergence of unemployment by accident. According to 2018 Medical Field Of United States statistical dataThe total workforce in August 2018 was 131.01 million people, an increase of 2.95 million people compared to August 2017. Accordingly, the Labor Force Participation Rate (TPAK) also increased by 0.59 percentage points. The following is a Based on the data above, it can be seen that the average unemployment rate in Medical Field Of United States is still high, reaching above 5%, while Medical Field Of United States's current economic growth rate has not been able to pass the government cabinet target which wants economic growth to reach 6%.
In the past year, unemployment has decreased by 40 thousand people, in line with the TPT which fell to 5.34 percent in August 2018. Judging from the level of education, the TPT for Vocational High Schools (SMK) still dominates among other education levels, namely 11.24 percent. The working population is 124.01 million people, an increase of 2.99 million people from August 2017. Jobs that experienced an increase in the percentage of the working population were mainly in the Provision of Accommodation and Food and Drink (0.47 percent point), Processing Industry (0 .21 percent point), and Transportation (0.17 percent point). While employment that experienced a decline was mainly in Agriculture (0.89 percentage point), Other Services (0.11 percentage point), and Education Services (0.05 percentage point). As many as 70.49 million people (56.84 percent) work in informal activities.
The unemployment rate which continued to increase in 2018 was partly due to the higher percentage of inflation, which greatly impacted the weakening of Medical Field Of United States's economic growth. Quoted from the official website of Bank Medical Field Of United States (BI), inflation is simply defined as an increase in prices in general and continuously for a certain period of time. An increase in the price of just one or two goods cannot be called inflation, except if the increase extends (or causes price increases) to other goods. Well the opposite of inflation is called deflation.
Meanwhile, the Central Bureau of Statistics (BPS) defines inflation as a tendency for prices of goods and services to rise, in general, which takes place continuously. If the price of goods and services in the country increases, inflation will increase. Rising prices of goods and services cause a decrease in the value of money. Thus, inflation can also be interpreted as a decrease in the value of money against the value of goods and services in general.
The indicator that is often used to measure the inflation rate is the Consumer Price Index (CPI). That is an index that calculates the average price change of a package of goods and services consumed by households in a certain period of time. Changes in the CPI from time to time reflect the rate of increase (inflation) or rate of decline (deflation) of goods and services. Determination of goods and services in the CPI basket is carried out on the basis of the Cost of Living Survey (SBH) conducted by BPS.
The following is Monthly Inflation Data in Medical Field Of United States in 2018 which drives the high rate of Open Unemployment (TPT): There is a positive relationship between the wage rate and unemployment, because if the wage rate increases, the demand for labor will decrease and unemployment will increase. The wage rate in Sumatra Province increases every year, and vice versa, the relationship between inflation and open unemployment is introduced through AW Philips which explains that there is a negative relationship between unemployment and inflation. Philips explained that an increase in aggregate demand would push up prices which in turn would encourage producers to increase production of goods and services.

Economic development
Economy is all matters related to life in the household. The word household does not only refer to one family but more broadly, namely the nation, state and world households (Putong, 2013: 418). Understanding Development Economics The grand theory in this study is Development Economics. Development economics is part of economics which specifically studies the economic conditions that occur in a country. Economic development is a process that causes real per capita income to increase in the long term or if the rate of development is greater than the rate of population growth so that real per capita income increases.
In essence, studies in development economics can be included in two groups. The discussion on economic development, both descriptive and more analytical in nature, aims to provide an overview of the various characteristics of the economy and society in developing countries and the implications of these characteristics for the possibility of developing the region's economy. Furthermore, the discussion may also be in the nature of providing various development policy options that can be implemented in an effort to accelerate the process of economic development in developing countries. Inflation Sukirno (2011: 165) states that the definition of inflation is as follows: "Inflation is an increase in the prices of goods that are general and continuous." Meanwhile, according to Julius (2011: 22) states that the definition of inflation is as follows: "The short definition of inflation is the tendency of prices to rise continuously". Furthermore, according to Murni in Hermawan (2013: 202) states that the definition of inflation is as follows: "Inflation is an event that shows an increase in price levels in general and takes place continuously".
In accordance with the theory put forward by Keynes Theory, in research Harjunata YTKalalo, Tri Oldy Rotinsulu, Mauna Th. B. Maramis (2016: Vol. 16. No. 01), inflation can occur when a group of people wants to live beyond their economic capacity, by buying goods and services in excess. However, the high rate of inflation also does not really have an impact on the level of unemployment that occurs in society. However, if this continues continuously, this can result in a high level of open unemployment when the inflation rate is high. In accordance with the law of economics, the more demand while supply remains, the prices will rise. Because it occurs naturally, inflation is not an economic phenomenon that can be avoided, it can only be overcome. To do this, it needs serious handling in the process. Ways that can be taken is to enact certain policies. Policies that can be taken to overcome the problem of inflation.

Open unemployment
International Labor OrganizationThe International Labor Organization (ILO) defines unemployment as open unemployment as someone belonging to the working-age population who has not worked for a certain period, is willing to accept work, and is looking for work.Unemployment is often a problem in the economy because with unemployment, people's productivity and income will decrease so that it can cause poverty and other social problems.
From year to year unemployment has a tendency to increase. This is a big challenge for the Medical Field Of United Statesn government because one of the indicators of successful development is being able to significantly reduce poverty and reduce unemployment. Especially in this era of globalization, labor competition is getting tougher, especially because of the opening of free trade which makes it easier for foreign workers who are believed to be of higher quality to enter the country. At present, efforts to reduce unemployment are by using an economic development plan that includes a mature employment plan. Besides that, it is also accompanied by awareness of a more democratic workforce regarding the right to choose a job, employment opportunities, work locations according to ability,

Data Source
According to Sugiyono (2012: 193) the types of data are divided into two, namely: a. Primary data is a data source that directly provides data to data collectors. In this study, the primary data is in the form of data from literature studies from various sources, both previous research and information from competent parties in their respective fields. b. Secondary data is a source that does not directly provide data to data collectors, for example through other people or through documents. The secondary data in this study are inflation data and open unemployment rate (TPT) data.

Data collection technique
The data collection technique used is by:

Interview
According to Sugiyono (2015: 231) interviews are a data collection technique if the researcher wants to conduct a preliminary study to find problems that must be studied, but also if the researcher wants to know things from respondents that are more in-depth.

Library Studies
According to Sugiyono (2012: 291), literature study is related to theoretical studies and other references related to values, culture and norms that develop in the social situation studied, besides that literature study is very important in conducting research, this subject to research will not be separated. from scientific literature.

Descriptive Analysis of Research Data 1. Development of the Open Unemployment Rate
The Open Unemployment Rate (TPT) isa person belonging to the working-age population who has not worked for a certain period, is willing to accept work, and is looking for work.Unemployment is often a problem in the economy because with unemployment, people's productivity and income will decrease so that it can cause poverty and other social problems. The development of the Open Unemployment Rate (TPT) by Province from 2017 to 2018 can be presented as follows:

Inflation Development
The following is Monthly Inflation Data in Medical Field Of United States in 2018 which drives the high rate of Open Unemployment (TPT):  Table 4.3 above shows the results of descriptive statistical measurements of the Inflation Rate (X) variable, the answer is a minimum value of 3.2% and a maximum value of 44.5% with an average (mean) answer of 32.6% and a standard value deviation of 99.9%. And the results of descriptive statistical measurements on the variable Unemployment Rate (Y), the answer is a minimum value of 5.5% and a maximum value of 11.24% with an average (mean) answer of 63.99% and a standard deviation value of 29. 16%

Classic assumption test
The testing of the classical assumptions with the SPSS 25.00 program carried out in this study includes: 1. Normality test The Normality Test aims to test whether in the regression model, the confounding or residual variables have a normal distribution (Ghozali, 2016: 154). Data normality testing can be done using two methods, graphics and statistics. The normality test for the graphical method uses the normal probability plot, while the normality test for the statistical method uses the one sample Kolmogorov Smirnov test.

Figure 4.1 Normal P Plot
Data that is normally distributed will form a straight diagonal line and residual data plotting will be compared with the diagonal line, if the residual data distribution is normal then the line that describes the actual data will follow the diagonal line (Ghozali, 2016). Data that is normally distributed will form a straight diagonal line and residual data plotting will be compared with the diagonal line, if the residual data distribution is normal then the line that describes the actual data will follow the diagonal line (Ghozali, 2016). The test results using SPSS 25.00 are as follows: Source: Data processed from attachment 3 (2020) From the output in table 4.4 it can be seen that the significance value (Monte Carlo Sig.) of all variables is equal to0.500 If the significance is more than 0.05, then the residual value is normal, so it can be concluded that all variables are normally distributed.

Heteroscedasticity Test
The heteroscedasticity test aims to test whether from the regression model there is an inequality of variance from the residuals of one observation to another. A good regression model is one that has homoscedasticity or does not have heteroscedasticity. One way to detect the presence or absence of heteroscedasticity is with the Glejser test, in the glejser test, if the independent variable is statistically significant in influencing the dependent variable then there is an indication of heteroscedasticity occurring. Conversely, if the independent variable is not statistically significant in influencing the dependent variable, then there is no indication of heteroscedasticity. This is observed from the significance probability above the 5% confidence level (Ghozali, 2016;138). The results of data processing using SPSS 25.00 show the results in the following table: Table 4.5. Glejser Test Results Table 4.5 shows the significance value of the Inflation Rate variable of 0.725 where the value of this variable is greater than 0.05 so it can be concluded that there are no symptoms of heteroscedasticity.

Autocorrelation Test
Autocorrelation test aims to test whether in the linear regression model there is a correlation between the confounding errors in period t and the confounding errors in the t-1 (previous) period. Autocorrelation testing uses the Durbin-Watson test, with the criteria du < d < 4-du. The test results using SPSS 25 are shown as follows:  Source: Data processed from attachment 3 (2020) From table 4.6 aboveWith a table value at a significance level of 5%, the number of samples is 36 (n) and the number of independent variables is 1 (k = 1), so in the Durbin-Watson table, the upper limit value (du) is 1.525 and the lower limit (dl) is 1.411. because the DW value of 1,548 is greater than the upper limit (du) of 1,525 and less than 4 -1,525 (4-du), it can be concluded that there is no autocorrelation in this regression model, or the calculation can be concluded that the DW value lies in the test area.

Simple Linear Regression Testing
Simple linear regression testing explains the magnitude of the role of the Inflation Rate variable (X) on the Open Unemployment Rate variable (Y). Data analysis in this study used simple linear regression analysis using SPSS 25.0 for windows. The analysis of each variable is explained in the following description:

Coefficient of Determination (R2)
The coefficient of determination is used to see how much the independent variable contributes to the dependent variable. The greater the value of the coefficient of determination, the better the ability of variable X to explain Variable Y. If the determination (R2) is greater (closer to 1), then it can be said that the effect of variable X is large on the Open Unemployment Rate (TPT). The value used in viewing the coefficient of determination in this study is in the adjusted R square column. This is because the value of the adjusted R square is not susceptible to the addition of independent variables. The value of the coefficient of determination can be seen in Table 4.8 below: Based on table 4.8 it can be seen that the value of the adjusted R square is 0.110 or 11.0%. This shows that the variable Inflation Rate (X1) can explain the variable Open Unemployment Rate (Y) of 11.0%, the remaining 89.0% (100% -11.0%) is explained by other variables outside this research model.Such as the level of economic growth of GRDP in several years can describe the increase, decrease, income level and inflation rate in society. According to Tarigan (2012: 13), increases, decreases, inflation rates and unemployment rates can be divided into two factors, namely: a. Real increase/decrease, namely increase/decrease in income levels that are not influenced by price changes. If there is a real increase in people's income, it means that the purchasing power of the people in the area increases, they are able to buy goods of the same quality in greater quantities b. Increase/decrease in income due to price changes. If there is an increase in income that is only due to inflation, even though income increases, the number of goods that can be purchased does not necessarily increase. It needs to be seen which increases more sharply, the income level or the price level (inflation).

Hypothesis testing 1. t test (Partial)
The t statistical test is also known as the individual significance test. This test shows how far the influence of the independent variables partially on the dependent variable. inflation can occur when a group of people wants to live beyond their economic capacity, by buying goods and services in excess. However, the high rate of inflation also does not really have an impact on the level of unemployment that occurs in society. However, if this continues continuously, this can result in a high level of open unemployment when the inflation rate is high. In accordance with the law of economics, the more demand while supply remains, the prices will rise. Because it occurs naturally, inflation is not an economic phenomenon that can be avoided, it can only be overcome. To do this, it needs serious handling in the process. Ways that can be taken is to enact certain policies. Policies that can be taken to overcome the problem of inflation. Based on research conducted by Sri Mulyati (2009), Analysis of the Relationship between Inflation and Unemployment in Medical Field Of United States for the 1985-2008 Period: The Philips Curve Approach. The research results show that the inflation rate has no significant effect on the unemployment rate. It can also be said that inflation can have an effect on the unemployment rate in society but conversely inflation can also have no effect on the unemployment rate, according to existing indicators and phenomena, and the results of research from Sri Mulyati seen from the value of the inflation coefficient which is positive and not significant . The number of labor force has a significant effect on the unemployment rate.